A Low Complexity Mode Decision Method for Spatial Scalability Coding

In this paper, a fast mode decision method for the spatial higher layers (SHLs) in scalable video coding (SVC) is proposed based on coding dependency between two adjacent spatial lower and higher layers. The proposed fast mode decision method detects zero motion and zero transform coefficient blocks...

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Vydáno v:IEEE transactions on circuits and systems for video technology Ročník 21; číslo 1; s. 88 - 95
Hlavní autoři: Lee, Bumshik, Kim, Munchurl
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.01.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Applied sciences
Circuits
Coding
Coefficients
Complexity
Complexity theory
Electronic mail
Encoding
Exact sciences and technology
Fast mode decision
Image processing
Information, signal and communications theory
Materials
Mathematical analysis
Miscellaneous
Scalability
scalable video coding
Signal processing
Signal to noise ratio
spatial scalability
Static VAr compensators
Telecommunications and information theory
Transforms
Vectors (mathematics)
Video coding
Performance evaluation
Motion estimation
Scalability
spatial scalability
Fast mode decision
scalable video coding
Computational complexity
Video signal processing
Degradation
Algorithm complexity
Signal processing
Motion detection
Damaging
Signal to noise ratio
ISSN:1051-8215, 1558-2205
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Popis
Shrnutí:In this paper, a fast mode decision method for the spatial higher layers (SHLs) in scalable video coding (SVC) is proposed based on coding dependency between two adjacent spatial lower and higher layers. The proposed fast mode decision method detects zero motion and zero transform coefficient blocks in the current spatial layer using the already encoded information of the corresponding blocks from the lower layer. The information for zero motion vectors and zero transform coefficients is used to induce a reduced set of candidate modes in SHLs of SVC, which reduces the computation complexity up to about 75% of the total encoding time while maintaining the coding performance with negligible amounts of degradation in peak signal-to-noise ratio values and bitrates.
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ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2011.2106273